Journal-Clubbing Our Way Through Internal Medicine
Do you also find it hard to follow the medical literature?
Newsletters with tables of contents are hard to get through after having written all your notes and maybe having done a chart dissection.
Welcome to IM Journal Club!
Our mission: to guide you through some of the most interesting internal medicine studies published in the last few weeks and months that you WOULD have liked to or SHOULD have heard about
Target groups: physicians and other clinicians in general internal or family medicine – hospital medicine and primary care – or in an internal medicine subspecialty; biostatisticians, epidemiologists, or data scientists; journal club enthusiasts!
Hidden agenda: to shed some lights on the studies’ methods AND on the context (what was known before, how do the new results change things – so what does this all mean?). We will give you episodes with primers on particularly difficult methods.
We will come out with a new episode every one to two weeks - we'll upload early on Fridays - so you can listen on your commute or on the weekend.
Please subscribe in your favorite podcast app or to our YouTube channel .
Please let us know what we can do better, or what new study we could cover: You can leave a review in your podcasting app, a comment on YouTube, or drop us a line at hello@imjournalclub.com
We are also on social; our email newsletter will be on Twitter: https://twitter.com/IMJournalClub
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Show Credits
Host: Ben Geisler
Video editor: Fernando Tábora
Methods consultant: Professor Ulrich Mansmann
Advisory group (current): Bijay Acharya, Chang-Berm Kang, Jeffrey L. Greenwald, Jonathan W. Heflin, Kathy May Tran, Marcel Müller, Rahul Ganatra, and Warren Chuang
Supported by LMU Munich’s Institute for Epidemiology, Biometry, and Medical Information Processing
Hosted on Acast. See acast.com/privacy for more information.
Journal-Clubbing Our Way Through Internal Medicine
Do you also find it hard to follow the medical literature?
Newsletters with tables of contents are hard to get through after having written all your notes and maybe having done a chart dissection.
Welcome to IM Journal Club!
Our mission: to guide you through some of the most interesting internal medicine studies published in the last few weeks and months that you WOULD have liked to or SHOULD have heard about
Target groups: physicians and other clinicians in general internal or family medicine – hospital medicine and primary care – or in an internal medicine subspecialty; biostatisticians, epidemiologists, or data scientists; journal club enthusiasts!
Hidden agenda: to shed some lights on the studies’ methods AND on the context (what was known before, how do the new results change things – so what does this all mean?). We will give you episodes with primers on particularly difficult methods.
We will come out with a new episode every one to two weeks - we'll upload early on Fridays - so you can listen on your commute or on the weekend.
Please subscribe in your favorite podcast app or to our YouTube channel .
Please let us know what we can do better, or what new study we could cover: You can leave a review in your podcasting app, a comment on YouTube, or drop us a line at hello@imjournalclub.com
We are also on social; our email newsletter will be on Twitter: https://twitter.com/IMJournalClub
---
Show Credits
Host: Ben Geisler
Video editor: Fernando Tábora
Methods consultant: Professor Ulrich Mansmann
Advisory group (current): Bijay Acharya, Chang-Berm Kang, Jeffrey L. Greenwald, Jonathan W. Heflin, Kathy May Tran, Marcel Müller, Rahul Ganatra, and Warren Chuang
Supported by LMU Munich’s Institute for Epidemiology, Biometry, and Medical Information Processing
Hosted on Acast. See acast.com/privacy for more information.
We are proud to bring you our first methods primer!
We will consider methods primers whenever we cover a study with a more an usual or slightly more complicated methods.
Last week's network-meta-analysis on DVT prophylaxis with Dr. Tony Breu should certainly qualify!
Meta-analysis (both the classical one and the network type) can provide a quantitative synthesis of controlled studies (e.g., randomized controlled trials).
NETWORK meta-analysis can help with two additional things:
Our methods consultant for this first primer on more an usual or slightly more complicated methods is Professor Dr. Ulrich Mansmann, the chair of the Institute for Epidemiology, Biometry, and Medical Information Processing of LMU Munich (Germany).
After covering some basics, we later dive a bit deeper into network meta-analysis.
References:
YouTube video: https://youtu.be/e_1mvGL8oDk
Hosted on Acast. See acast.com/privacy for more information.